How does it handle architectural decision-making?

It enforces a pattern of proposing multiple options with explicit tradeoffs and 'what could go wrong' scenarios, ensuring decisions are well-vetted and documented as 'nuggets' in a knowledge graph.

What are 'nuggets' in this context?

Nuggets are units of information stored in the knowledge graph. This skill distinguishes between 'state' nuggets (current code details) and 'decision' nuggets (the reasoning and constraints behind the code).

How does the skill prevent 'forensic spirals'?

It limits investigation depth to a maximum of 10 tool calls before requiring a summary and specific questioning, preventing the AI from wandering too deep into the codebase without progress.

What is the primary purpose of the Orca Architecture skill?

It is designed to provide guidance and structured workflows for discussing, exploring, and documenting the architecture of Orca-based projects using knowledge graphs.

Orca Architecture Architect

Name: Orca Architecture Architect
Author: dkoosis

bydkoosis

0•

개발자 도구

Facilitates structured architecture discussions and knowledge-graph-driven decision capture for Orca-based systems.

The Orca Architecture skill provides a disciplined framework for managing the evolution of complex software systems, specifically optimized for the Orca ecosystem. It leverages a knowledge graph to track architectural decisions, constraints, and system state, ensuring that the 'why' behind code is never lost. By enforcing bounded exploration patterns and multi-option proposal workflows, it prevents developers from falling into forensic spirals and helps maintain a source of truth for architectural reasoning through the use of 'nuggets.'

주요 기능

01Bounded exploration patterns to prevent investigative rabbit holes

02Specialized search tools for retrieving architectural history and constraints

03Knowledge Graph integration for context-aware architecture retrieval

040 GitHub stars

05Multi-option proposal generation with explicit trade-off analysis

06Structured decision capture workflows that prioritize reasoning over state

사용 사례

01Validating proposed changes against existing system constraints and telemetry design

02Planning and documenting major refactors of Orca system components

03Onboarding to complex codebases by querying architectural decision history

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dkoosis/cc-plugins orca-architecture

For use in Claude.ai and ChatGPT

주요 기능

01Bounded exploration patterns to prevent investigative rabbit holes

02Specialized search tools for retrieving architectural history and constraints

03Knowledge Graph integration for context-aware architecture retrieval

040 GitHub stars

05Multi-option proposal generation with explicit trade-off analysis

06Structured decision capture workflows that prioritize reasoning over state

사용 사례

01Validating proposed changes against existing system constraints and telemetry design

02Planning and documenting major refactors of Orca system components

03Onboarding to complex codebases by querying architectural decision history

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dkoosis/cc-plugins orca-architecture

For use in Claude.ai and ChatGPT